Seung Geol Choi

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Privacy & Security — 14 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Computer Networks and Communications — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Seung Geol Choi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ran Canetti
2. Cynthia Dwork
3. Tamás Sarlós
4. Nir Ailon
5. William B. Johnson
6. Sariel Har-Peled
7. Moses Charikar
8. Aleksandar Nikolov
9. Roger Dingledine
10. Stefan Heule

Papers from Seung Geol Choi's perspective

Ordered by how strongly the researchers Seung Geol Choi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality
3. Secure multiparty computation of approximations
4. An improved data stream summary: the count-min sketch and its applications
5. Towards Sharp Inapproximability For Any 2-CSP
6. Counting Distinct Elements in a Data Stream (International Workshop Randomization and Approximation Techniques in Computer Science)
7. Extensions of Lipschitz mappings into Hilbert space
8. The Algorithmic Foundations of Differential Privacy
9. Learning Multiple Layers of Features from Tiny Images
10. Finding frequent items in data streams

Their papers

• Differentially-Private Multi-Party Sketching for Large-Scale Statistics (2020) — 39 citations
• BiTR: Built-in Tamper Resilience (2011) — 577 citations